Advanced Learning
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Advanced Deep Learning With Python
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Author : Ivan Vasilev
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-12-12
Advanced Deep Learning With Python written by Ivan Vasilev and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Computers categories.
Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles. By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world. What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.
High Performance Learning
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Author : Deborah Eyre
language : en
Publisher: Routledge
Release Date : 2016-01-12
High Performance Learning written by Deborah Eyre and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-12 with Education categories.
Schools that want to be world class are now paying attention to the findings from neuroscience and psychology that tell us we can build better brains. They are changing their mindset, expecting success for far more students and no longer being constrained by ideas of genetic potential. High Performance Learning provides readers with a ground-breaking and approachable model for achieving high levels of academic performance for all students and schools. It takes what is known about how people reach advanced cognitive performance and translates it into a practical and user-friendly framework, which can be used with all students to systematically build the cognitive thinking skills and learner behaviours that will deliver success in school, in the workplace and in later life. Flexible and adaptable, High Performance Learning can be used in any context, with any curriculum and at any age. It does not require separate lessons but rather becomes the underpinning pedagogy of the school. Drawing on the author’s 40 years of research into how the most able students think and learn, this book provides a framework that has been extensively trialled in schools in eleven countries. . Themes include: Creating world class schools The High Performance Learning environment The High Performance Learning framework Advanced Cognitive Performance characteristics (ACPs) Values, Attitudes and Attributes (VAAs) Creating and leading a High Performance Learning school The role of parents, universities and employers. This invaluable resource will help schools make the move from good to world class and will be essential reading for school leaders, teachers and those with an interest in outstanding academic performance.
Advanced Applied Deep Learning
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Author : Umberto Michelucci
language : en
Publisher: Apress
Release Date : 2019-09-28
Advanced Applied Deep Learning written by Umberto Michelucci and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-28 with Computers categories.
Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow. Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models. Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level. What You Will Learn See how convolutional neural networks and object detection work Save weights and models on disk Pause training and restart it at a later stage Use hardware acceleration (GPUs) in your code Work with the Dataset TensorFlow abstraction and use pre-trained models and transfer learning Remove and add layers to pre-trained networks to adapt them to your specific project Apply pre-trained models such as Alexnet and VGG16 to new datasets Who This Book Is For Scientists and researchers with intermediate-to-advanced Python and machine learning know-how. Additionally, intermediate knowledge of Keras and TensorFlow is expected.
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Teaching Advanced Learners In The General Education Classroom
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Author : Joan Franklin Smutny
language : en
Publisher: Corwin Press
Release Date : 2011-08-22
Teaching Advanced Learners In The General Education Classroom written by Joan Franklin Smutny and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-22 with Education categories.
Low-stress tips for challenging high-ability learners Many teachers ask: “What do I do for students who finish their work before everyone else?” If you would like to do more for gifted students and need simple strategies that you can use tomorrow, this book is for you. Inside are helpful methods for challenging students who need more than the regular curriculum can provide. The authors provide practical tools, including: Tips for using existing resources and potential A progression from simpler to more complex adjustments for advanced learners Specific lessons for language arts, math, science, social studies, and the arts
Revitalizing Special Education
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Author : James M. Kauffman
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-09-26
Revitalizing Special Education written by James M. Kauffman and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Education categories.
Revitalizing Special Education presents neither a pessimistic nor a Pollyannish view of past or future, but rather is a careful assessment of some of the greatest threats to robust special education posed by distorted and misguided thinking about what special education is and does.
I Believe In Unicorns
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Author : Bob Stanish
language : en
Publisher: PRUFROCK PRESS INC.
Release Date : 1999
I Believe In Unicorns written by Bob Stanish and has been published by PRUFROCK PRESS INC. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Education categories.
Ignite creative thinking and the cognitive processes associated with it in this imaginative book. The activities stimulate unique and original patterns of student thinking. I Believe in Unicorns offers fun, exciting activities designed to encourage creativity and imagination among primary grade children. Grades K-4
Proceedings Of The 3rd International Conference On Christian And Inter Religious Studies Icc Irs 2024
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Author : Desi Natalia
language : en
Publisher: Springer Nature
Release Date : 2025-07-16
Proceedings Of The 3rd International Conference On Christian And Inter Religious Studies Icc Irs 2024 written by Desi Natalia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-16 with Education categories.
This is an open access book. Third International Conference on Christian and Inter-Religious Studies (ICC-IRS) 2024 will be held in Palangka Raya from June 20–22, 2024. This prestigious event is organized by the Institut Agama Kristen Negeri (IAKN) Palangka Raya as part of an ongoing effort to facilitate academic discussions on critical issues in the digital era. With the theme “Religion, Education, and Culture in the Digital Age,” this conference will serve as a forum for scholars, researchers, and practitioners from various backgrounds to discuss and share insights in the fields of religion and education. The topics to be covered include a wide range of disciplines, including Education, Theology, Psychology and Counseling, Sociology and Philosophy of Religion, Religious Moderation, as well as Music and Arts. To enrich the discussions, the conference will feature distinguished academics from both domestic and international institutions as keynote speakers. With great enthusiasm, the committee has received over 200 participants from various institutions, and of these, approximately 125 manuscripts have been approved for presentation. From these presentations, around 75 full papers will be selected for publication. It is hoped that this conference will not only contribute significantly to the advancement of knowledge in the field of religion but also strengthen academic networks among the participants, fostering further collaboration in the future.
Resources In Education
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Author :
language : en
Publisher:
Release Date : 1993
Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Education categories.
How To Differentiate Instruction In Academically Diverse Classrooms Third Edition
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Author : Carol Ann Tomlinson
language : en
Publisher: ASCD
Release Date : 2017-03-22
How To Differentiate Instruction In Academically Diverse Classrooms Third Edition written by Carol Ann Tomlinson and has been published by ASCD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-22 with Education categories.
We differentiate instruction to honor the reality of the students we teach. They are energetic and outgoing. They are quiet and curious. They are confident and self-doubting. They are interested in a thousand things and deeply immersed in a particular topic. They are academically advanced and “kids in the middle” and struggling due to cognitive, emotional, economic, or sociological challenges. More of them than ever speak a different language at home. They learn at different rates and in different ways. And they all come together in our academically diverse classrooms. Written as a practical guide for teachers, this expanded third edition of Carol Ann Tomlinson’s groundbreaking work covers the fundamentals of differentiation and provides additional guidelines and new strategies for how to go about it. You’ll learn * What differentiation is and why it’s essential * How to set up the flexible and supportive learning environment that promotes success * How to manage a differentiated classroom * How to plan lessons differentiated by readiness, interest, and learning profile * How to differentiate content, process, and products * How to prepare students, parents, and yourself for the challenge of differentiation First published in 1995 as How to Differentiate Instruction in Mixed-Ability Classrooms, this new edition reflects evolving best practices in education, the experiences of practitioners throughout the United States and around the world, and Tomlinson’s continuing thinking about how to help each and every student access challenging, high-quality curriculum; engage in meaning-rich learning experiences; and feel at home in a school environment that “fits.”